About BuildMoat Newsletter
Human infrastructure for AI adoption
What is the BuildMoat Newsletter about?
The AI adoption newsletter for enterprise leaders.
AI is commoditising everything.
Your content. Your product. Your customer service. Your pricing.
The things that made you competitive in 2020 are table stakes in 2025.
So what's left?
Human infrastructure. The systems that make AI adoption work in real organizations:
champion networks, peer learning, behavioral pilots, communities of practice.
AI tools get deployed. AI adoption gets built.
This newsletter is for enterprise leaders facing the adoption gap:
You've deployed AI tools. Usage sits at 15-20%. Training didn't stick. Pilots don't scale. No one owns making AI work in daily operations.
You need human infrastructure.
The MOAT Framework
Every edition teaches one or more pillars of the framework we use to build AI adoption at scale:
M: Mindset
AI adoption fails when people believe the tool is a threat or a gimmick. Mindset work changes the internal narrative before the tool is introduced - removing fear, building curiosity, and establishing psychological safety to experiment and fail. In FS/Compliance. It addresses fear of liability and the belief that AI cannot operate within SM&CR accountability structures.
O: Operation
AI must be embedded into existing workflows, not bolted on top. Operations work redesigns processes around AI capabilities — identifying where human judgement is irreplaceable and where automation creates genuine leverage.
A: Adoption habit
Sustained adoption is a habit problem, not a training problem. This layer builds champion networks, peer learning structures, and behavioural pilots that make AI use the path of least resistance in daily work.
In FS/Compliance, it builds habits of documentation, review, and escalation that satisfy regulatory expectations without creating friction that kills adoption.
T: Tribal Identity
ATransformation is what happens when the first three layers compound. Communities of practice form. Institutional knowledge gets encoded. AI stops being a project and becomes the operating model — a defensible competitive advantage others cannot copy quickly. In FS/Compliance, it produces a firm that can demonstrate AI governance to regulators as a natural output of operations, not a retrospective audit exercise..
WHO WRITE THIS?
Emeka Ogbonnaya
Founder, BuildMoat
15 years building human infrastructure across HSBC, Mastercard, BMO Capital Markets, Bank of England, and Accenture.
Built 2 local newsletters (Hertstown & Broxtown) to 5,000+ subscribers with 60% engagement rates and 40% referral-driven growth, proving community infrastructure works at scale.
The MOAT Framework came from that work: launching things people actually use, engagement that actually converts, and adoption that actually lasts
WHAT YOU GET?
Weekly insights. One idea, one framework, one action. No fluff.
Enterprise focus. Champion networks, behavioral pilots, AI Adoption Offices, workflow integration.
Real examples. How organizations go from 15% to 75% AI adoption, and what you can apply.
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